Kefiw

Archived noindex page. Kefiw's public focus is Property decision help.

Archived page

This older Kefiw page is kept for reference, marked noindex, and removed from the primary sitemap. The current Kefiw experience is focused on property decisions: cost, quotes, damage, buying, selling, owning, and packets.

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The Triad Primitive

Scenarios

Three parallel instances of the same tool, pre-seeded with different assumptions. Three pillars, one forecast shape — so you can see the spread in a glance instead of clicking back and forth.

RUNWAY · TRIAD
Baseline · Optimized · Crisis

Three Runway Zero columns running in parallel. Current trajectory, optimized trajectory, revenue-zero crisis. Pre-seeded, persistent.

3 pillars · namespaced state · ~1 min to explore
FOCUS · TRIAD
Distracted · Typical · Deep

Three Task Switching Tax columns — 8 contexts, 3 contexts, single-threaded. Pre-seeded, persistent.

3 pillars · namespaced state · ~1 min to explore
RATE · TRIAD
Conservative · Realistic · Aggressive

Three Minimum Viable Rate columns at 45% / 60% / 75% utilization. Same target need, different hourly answer.

3 pillars · namespaced state · ~1 min to explore

How the triad primitive works

Each pillar is a namespaced tool instance. On first visit the triad writes pre-seeded state into separate localStorage keys (tool__baseline, __optimized, __crisis). After that, every edit persists per-pillar.

Use a triad when the important question is not the single best estimate but the spread between possible outcomes. If the crisis column and optimized column are close together, the decision is probably stable. If they are far apart, the next useful task is to identify which assumption creates the gap.